Employee as Data Analyst (CRM / Marketing) (all genders) Mün, Düs, HH, Kiel

12,000 guardian angels • 330 professions • 5 locations • 33 nationalities • 5.000.000 customers As a provincial group, we are insurers and employers of the region with social responsibility. With 12,000 employees, we enthuse our customers in various professional groups: with certainty and reliability. Whether in our directors in Münster, Düsseldorf, Hamburg, Kiel and Detmold or on site in the 1,300 agencies: we have infinitely many perspectives!

This will be your tasks

You will participate in the up-and-coming theme ''Customer Data & Analytics''. This includes close cooperation with cross-functional, agile teams to identify new business requirements in which “Customer Data & Analytics” solutions can create added value. You initiate new data products and use cases - from data-driven individual measures to marketing automation solutions - and implement them in the team. Advising colleagues from marketing and sales to build customer selections for marketing measures (e.g. selection criteria and test concept) and their implementation is one of your tasks. You are responsible for the creation of evaluations as well as for address-oriented presentations. In addition, holistic monitoring, analysis and segmentation, as well as the interpretation of customer development and potentials belong to your tasks. The further development of analysis tools and dashboards is part of this task. In addition, you support the success measurement and perform campaign repseau evaluations. Based on predefined generally valid data products (e.g. scoring, customer value), you build automated data pipelines to create the basic data sets for different use cases. You act as a link between stakeholders, Product Owner, Data Scientists and Data Engineers and supports the development of specialist concepts for new analytical data products. In the technical requirement definition, you can apply to central data analytics and IT units and shape technical requirements.

That's what you bring Complete study of an STEM discipline, business informatics, data science or other relevant discipline First professional experience as a data analyst in insurance or a comparable industry as well as experience in customer/marketing analytics Good knowledge of at least one database query language (ideally SQL) as well as good knowledge of a programming language used in analytical contexts (ideally Python) Ideally good knowledge in a BI frontend (ideally Power BI) and tools like JIRA and Confluence. Learning to incorporate into new technologies that are used in the field of “Customer Data & Analytics” (e.g. PySpark, Azure Synapse, BSI Customer Suite) Good analytical and conceptual skills associated with pronounced communication skills and the ability to work effectively with cross-functional teams

We offer you

Flexible working hours and actively lived work-life balance • 38 hrs. week including time recording• Free lunch in your own business restaurant and coffee lounge • Home office • Childcare • Innovative health management • various sports services • diverse training options • Occupational retirement and attractive special payments • JobTicket & JobRad